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Planar Motion and Three-Dimensional Structure Recovery from Image Sequences Based on a Fish-Eye Projection Model

机译:基于鱼眼投影模型的图像序列的平面运动和三维结构恢复

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摘要

In this paper we propose a factorization method that can simultaneously recover planar motion and three-dimensional structure from image sequences captured using a fish- eye camera. Here we assume that the fish-eye camera moves on a plane with the optical axis perpendicular to the plane. Our method is based on a fish-eye projection model that captures the image sequence under this planar motion. In our experiments using an imaging robot, we apply this method to images obtained indoors and show that it is an effective method for simultaneously recovering planar motion and three-dimensional structure with a high level of accuracy. In addition, from evaluations of the precision of shape recovery we confirm that the precision with which shapes can be recovered is dependent on the angle of elevation and thereby clarify the scope within which this method is applicable.
机译:在本文中,我们提出了一种分解方法,该方法可以从使用鱼眼镜头捕获的图像序列中同时恢复平面运动和三维结构。在这里,我们假设鱼眼镜头相机在一个光轴垂直于该平面的平面上移动。我们的方法基于鱼眼投影模型,该模型在这种平面运动下捕获图像序列。在使用成像机器人的实验中,我们将此方法应用于在室内获取的图像,并表明这是一种高效地同时恢复平面运动和三维结构的有效方法。另外,通过对形状恢复精度的评估,我们确认可以恢复形状的精度取决于仰角,从而阐明了该方法的适用范围。

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